the approximately 34,000 Cybertrucks on the roads had five fire fatalities
They sold millions of Pintos. Sample size is important.
They included the guy who shot himself and then blew up the truck. That had nothing to do with the truck. That one death made up 20% of their fatalities.
The other 3 victims were all in the same vehicle, in the same crash, which means these 4 deaths were comprised of 2 incidents. Name another production car that hasn’t had at least 2 collisions that resulted in a fire fatality.
I get paid to teach stats. So not my job here. But let me use common sense and see if that works.
Is a comparison valid? Of course it is. Connecticut has a population of about 3.5 million. Torrington CT has a population of around 35,000. Are you telling me that you can’t compare death rates in Torrington vs. the rest of Connecticut because of “statistics”?
You can compare whatever you want. But there are good comparisons and there are bad comparisons, and this is the latter.
Also we’re talking about cars that roll off an assembly line, not people. If the death rate is higher in people, do you blame the people? Another bad comparison.
What are you even talking about? Failure rates in manufacturing are governed by the same statistics rules as human errors or deaths for sufficiently large n. And 35,000 is sufficiently large n .
Jesus Christ. You really need this spelled out, don’t you?
Machines coming off an assembly line are almost completely identical, which you cannot say for humans.
We can fix errors in vehicle manufacturing very easily, which you also cannot say for humans.
You’re comparing death rates in humans across locales, which is looking for environmental variables and not biological ones. When comparing death rates among different vehicles, you’re looking for manufacturing errors.
This is a bad comparison and statistically insignificant.
They sold millions of Pintos. Sample size is important.
They included the guy who shot himself and then blew up the truck. That had nothing to do with the truck. That one death made up 20% of their fatalities.
The other 3 victims were all in the same vehicle, in the same crash, which means these 4 deaths were comprised of 2 incidents. Name another production car that hasn’t had at least 2 collisions that resulted in a fire fatality.
Bad journalism is bad.
It’s reported as the rate per 100,000 units. So that’s accounted for.
Bad commenting is bad.
the total sample is between 0 and 34,000 across the past couple years. You are mixing up sample, 34,000 is actually a remarkably large sample size.
Maybe you dont understand clustering
do enlighten me then.
I’d suggest you familiarize yourself with the concept of sample sizes.
Dude. I’ve taught statistics. I don’t think you understand what you’re arguing here. lol.
Why don’t you bring me up to speed instead of levying personal attacks and then disappearing?
I get paid to teach stats. So not my job here. But let me use common sense and see if that works.
Is a comparison valid? Of course it is. Connecticut has a population of about 3.5 million. Torrington CT has a population of around 35,000. Are you telling me that you can’t compare death rates in Torrington vs. the rest of Connecticut because of “statistics”?
You can compare whatever you want. But there are good comparisons and there are bad comparisons, and this is the latter.
Also we’re talking about cars that roll off an assembly line, not people. If the death rate is higher in people, do you blame the people? Another bad comparison.
What are you even talking about? Failure rates in manufacturing are governed by the same statistics rules as human errors or deaths for sufficiently large n. And 35,000 is sufficiently large n .
It’s a valid comparison and statistically sound.
Jesus Christ. You really need this spelled out, don’t you?
Machines coming off an assembly line are almost completely identical, which you cannot say for humans.
We can fix errors in vehicle manufacturing very easily, which you also cannot say for humans.
You’re comparing death rates in humans across locales, which is looking for environmental variables and not biological ones. When comparing death rates among different vehicles, you’re looking for manufacturing errors.
This is a bad comparison and statistically insignificant.